Databricks (DLT, Unity Catalog, Workflows, SQL Warehouse)

Date Of Requisition

8^th Oct 2025

ECMS REQ ID/ Unique ID

539611

PU

DNAMFG

Number of Openings

1

Country

India

Detailed JD (Roles and Responsibilities)

1. Lead the design and implementation of advanced data solutions on Databricks.
2. Architect scalable, secure, and efficient data platforms using Spark, Python, and SQL.
3. Optimize ETL processes and data workflows for performance and reliability.
4. Collaborate with data engineers, data scientists, and business stakeholders to understand requirements and deliver robust solutions.
5. Set up and manage CI/CD pipelines and enforce data governance standards.
6. Monitor and troubleshoot data pipelines to ensure data quality and integrity.
7. Mentor junior team members and foster a culture of continuous learning.
8. Stay updated with emerging technologies and promote innovation in data practices.

Total Experience

8 years

Relevant Experience

5 years

Mandatory skills

Deep expertise in Databricks (DLT, Unity Catalog, Workflows, SQL Warehouse).

Strong programming skills in Python, PySpark, and SQL.

Experience with cloud platforms (AWS, Azure, GCP).

Familiarity with data governance, security policies (RBAC), and performance tuning.

Excellent problem-solving, communication, and leadership skills.

Desired skills

Domain (Industry)

MFG

Work Location

Pune, Bangalore

Background Check (Before onboarding / After onboarding)

Before onboarding

BGV Vendor

Any

Mode of Interview- Telephonic/Face to Face/Video Interview

Face to Face + Video Interview

WFO / WFH / Hybrid

Hybrid

Shift Details (Time)

General

Client BTP / SHTP (onsite)

NA

Vendor Rate in currency of Work Location

10,500 INR / Day.